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Jolliffe I. Principal Component Analysis (2ed., Springer, 2002)(518s)

Jolliffe I. Principal Component Analysis (2ed., Springer, 2002)(518s)

Jolliffe I. Principal Component Analysis (2ed., Springer, 2002)(518s)

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454 ReferencesTurner, N.E. (1998). The effect of common variance and structure patternon random data eigenvalues: implications for the accuracy of parallelanalysis. Educ. Psychol. Meas., 58, 541–568.Uddin, M. (1999). Interpretation of Results from Simplified <strong>Principal</strong><strong>Component</strong>s. Unpublished Ph.D. thesis. University of Aberdeen.Underhill, L.G. (1990). The coefficient of variation biplot. J. Classific., 7,241–256.van de Geer, J.P. (1984). Linear relations among k sets of variables.Psychometrika, 49, 79–94.van de Geer, J.P. (1986). Introduction to Linear Multivariate Data<strong>Analysis</strong>—Volume 2. Leiden: DSWO Press.van den Brink, P.J. and ter Braak, C.J.F. (1999). <strong>Principal</strong> responsecurves: <strong>Analysis</strong> of time-dependent multivariate responses of biologicalcommunity to stress. Environ. Toxicol. Chem., 18, 138–148.van den Dool, H.M., Saha, S. and Johansson, Å. (2000) Empiricalorthogonal teleconnections. J. Climate 13, 1421-1435.van den Wollenberg, A.L. (1977). Redundancy analysis. An alternative forcanonical correlation analysis. Psychometrika, 42, 207–219.van Rijckevorsel, J.L.A. (1988). Fuzzy coding and B-splines. In <strong>Component</strong>and Correspondence <strong>Analysis</strong>. Dimension Reduction by FunctionalApproximation, eds. J.L.A. van Rijckevorsel and J. de Leeuw, 33–54.Chichester: Wiley.Vargas-Guzmán, J.A., Warrick, A.W. and Myers, D.E. (1999). Scale effecton principal component analysis for vector random functions. Math.Geol., 31, 701–722.Vautard, R. (1995). Patterns in time: SSA and MSSA. In <strong>Analysis</strong> ofClimate Variability: Applications of Statistical Techniques, eds. H. vonStorch and A. Navarra, 259–279. Berlin: <strong>Springer</strong>.Velicer, W.F. (1976). Determining the number of components from thematrix of partial correlations. Psychometrika, 41, 321–327.Velicer, W.F. and Jackson, D.N. (1990). <strong>Component</strong> analysis versus commonfactor analysis—some issues in selecting an appropriate procedure.Mult.Behav.Res., 25, 1–28.Verboon, P. (1993). Stability of resistant principal component analysis forqualitative data. In New Directions in Statistical Data <strong>Analysis</strong> and Robustness,eds. S. Morgenthaler, E. Ronchetti and W. A. Stahel, 265–273.Basel: Birkhäuser.Vermeiren, D., Tavella, D. and Horovitz, A. (2001). Extending principalcomponent analysis to identify portfolio risk contributors. Submitted forpublication.Vigneau, E. and Qannari, E.M. (2001). Clustering of variables aroundlatent components. Submitted for publication.Vines, S.K. (2000). Simple principal components. Appl. Statist., 49, 441–451.

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